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app.py

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+import streamlit as st
+import tensorflow as tf
+import pickle
+
+with open('models/svm.pkl', 'rb') as f:
+    svm = pickle.load(f)
+with open('models/gnb.pkl', 'rb') as f:
+    gnb = pickle.load(f)
+with open('models/vclf.pkl', 'rb') as f:
+    vclf = pickle.load(f)
+with open('models/tfidf_vectorizer.pkl', 'rb') as file:
+    tfidf = pickle.load(file)
+model=tf.keras.models.load_model('models/ANN.h5')
+
+option = st.selectbox(
+    "Select the model",
+    ("Naive Bayes", "Support Vector Machine", "Voting Classifier","ANN model"))
+
+st.title("Detect AI generated text")
+st.image("images.png")
+user_input = st.text_area("Enter or paste the text here")
+if st.button("Predict"):
+    user_input = user_input.strip()
+    if user_input != '':
+        vectorized_text=tfidf.transform([user_input]).toarray()
+        match option:
+            case "Naive Bayes":
+                prediction=gnb.predict(vectorized_text)
+            case "Support Vector Machine":
+                prediction=svm.predict(vectorized_text)
+            case "Voting Classifier":
+                prediction=vclf.predict(vectorized_text)
+            case "ANN model":
+                temp_result=model.predict(vectorized_text)
+                prediction=1 if temp_result>0.5 else 0
+        output="AI generated data" if prediction else "not an AI generated data"
+        st.write(f"The text is predicted as {output}")
+    else:
+        st.warning("Please enter text to be predicted")
+
+

models/ANN.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d24c7d7dc84460107a6e506f18aa42709fe8d34f9e7c9627e2bcd08b93a36d70
+size 397560

models/gnb.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ff0f19c41e34e82f5ddd6fd4bc3ac4f491790e81521f92bc88f3966537c4a9fa
+size 5703

models/svm.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e60f9148260db17e8a1eb2e9fbafef418877926a69174b4cb7c7b72f743eec8c
+size 7370949

models/tfidf_vectorizer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:42053fa8a2c62fa3181a85e05c7710e311efb73e1ffed3af7eb87c33637eda72
+size 23036611

models/vclf.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5ad7fa67bc82e6493d9c09b85e4c987ed76a4dd16bb1f0fff0db5ecbd8e22149
+size 7379440

requirements.txt

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+streamlit==1.36.0
+scikit-learn==1.5.0
+tensorflow==2.15.0